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Artificial intelligence

Quantitative Evaluation of Human Cerebellum-Dependent Motor Learning through Prism Adaptation of Hand-Reaching Movement

Yuji Hashimoto, Takeru Honda, [ ... ], Kinya Ishikawa

Predicting Object Size from Hand Kinematics: A Temporal Perspective

Caterina Ansuini, Andrea Cavallo, [ ... ], Cristina Becchio

Prediction and Analysis of Quorum Sensing Peptides Based on Sequence Features

Akanksha Rajput, Amit Kumar Gupta, Manoj Kumar

Quantifying Patterns of Change in Marine Ecosystem Response to Multiple Pressures

Scott I. Large, Gavin Fay, Kevin D. Friedland, Jason S. Link

Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory

Xiaolei Ma, Haiyang Yu, Yunpeng Wang, Yinhai Wang

Inferring Landscape-Scale Land-Use Impacts on Rivers Using Data from Mesocosm Experiments and Artificial Neural Networks

Regina H. Magierowski, Steve M. Read, [ ... ], Peter E. Davies

Combinational Reasoning of Quantitative Fuzzy Topological Relations for Simple Fuzzy Regions

Bo Liu, Dajun Li, [ ... ], Huanyi Wu

Determination of the Optimal Training Principle and Input Variables in Artificial Neural Network Model for the Biweekly Chlorophyll-a Prediction: A Case Study of the Yuqiao Reservoir, China

Yu Liu, Du-Gang Xi, Zhao-Liang Li

Prediction of Chemical Respiratory Sensitizers Using GARD, a Novel In Vitro Assay Based on a Genomic Biomarker Signature

Andy Forreryd, Henrik Johansson, [ ... ], Malin Lindstedt

The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival

Johan Nilsson, Mattias Ohlsson, [ ... ], Bodil Andersson

Systematic Artifacts in Support Vector Regression-Based Compound Potency Prediction Revealed by Statistical and Activity Landscape Analysis

Jenny Balfer, Jürgen Bajorath

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

Takaya Saito, Marc Rehmsmeier

Study of Integrated Heterogeneous Data Reveals Prognostic Power of Gene Expression for Breast Cancer Survival

Richard E. Neapolitan, Xia Jiang

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